title: [Classification of Chinese traditional medicine, moutan (Paeonia suffruticosa Andr.) cortex by means of pyrolysis-high resolution gas chromatography/pattern recognition].
abstract: Thirty-eight samples of Moutan (Paeonia suffruticosa Andr.) Cortex obtained from three different regions (Southwest, East and Middle China) and two samples of unknown region were subjected to analysis with pyrolysis-high resolution gas chromatography (Py-HRGC). Each sample was thus characterized by the peak area of 41 peaks in each Py-HRGC profile. Discriminant analysis (DA), PRIMA and SIMCA pattern recognition were used to recognize the 40 x 41 data matrix. These data analysis gave satisfactory results (DA, 100% correct; PRIMA, 100% correct, 92.2% unique; SIMCA, 92.2% correct, 79% unique). The correct classification of Moutan Cortex for the unknown territory was obtained by three pattern recognition methods. The results showed that Py-HRGC/pattern recognition technique might be a potential tool for the identification of Chinese traditional medicine.
authors.affiliation: Department of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing.
authors.forename: X C
authors.initials: XC
authors.lastname: Fang
authors.forename: B R
authors.initials: BR
authors.lastname: Xiang
authors.forename: D K
authors.initials: DK
authors.lastname: An
mesh_terms: D002849:Chromatography, Gas / Q000379:methods; D004365:Drugs, Chinese Herbal / Q000145:classification*; D010363:Pattern Recognition, Automated
chemical_list: D004365:Drugs, Chinese Herbal